Learning analytics of humanities course: reader profiles in critical reading activity.

Saved in:
Bibliographic Details
Title: Learning analytics of humanities course: reader profiles in critical reading activity.
Authors: Majumdar, Rwitajit1 (AUTHOR) dr.rwito@gmail.com, Bakilapadavu, Geetha2 (AUTHOR), Majumder, Reek3 (AUTHOR), Chen, Mei-Rong Alice4 (AUTHOR), Flanagan, Brendan1 (AUTHOR), Ogata, Hiroaki1 (AUTHOR)
Source: Research & Practice in Technology Enhanced Learning. 8/3/2021, Vol. 16 Issue 1, p1-18. 18p.
Subject Terms: *Interactive learning, *Electronic books, *Learning, *Classroom environment, *Reading, Record stores, Virtual communities
Abstract: This study investigates learner's reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading activities were migrated to online mode by using BookRoll, a learning analytics enhanced eBook platform. Students (n=22 out of the 50 registered) accessed Hayavadana, an Indian play uploaded on BookRoll, and attempted to identify performative elements and cultural references in the text and highlight them. In this study, we analyze learner's reading logs gathered in the learning record store linked to BookRoll during that activity. We extend our previous work where we identify four online reading profiles: effortful, strategic, wanderers, and check-out, based on learner's clickstream interactions and time spent with the content. We validate the profiles with qualitative interview data collected from the learners and illustrate the quantified learning behaviors of each of those profiles based on an engagement metric. Our work aims to initiate further discussion related to the application of learning analytics in humanities courses both to probe into the learning behaviors of the students and thereby enhance the experiences with the use of interactive learning environments and data-driven services. [ABSTRACT FROM AUTHOR]
Copyright of Research & Practice in Technology Enhanced Learning is the property of Asia-Pacific Society for Computers in Education (APSCE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 151719985
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Learning analytics of humanities course: reader profiles in critical reading activity.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Majumdar%2C+Rwitajit%22">Majumdar, Rwitajit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dr.rwito@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bakilapadavu%2C+Geetha%22">Bakilapadavu, Geetha</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Majumder%2C+Reek%22">Majumder, Reek</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Mei-Rong+Alice%22">Chen, Mei-Rong Alice</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Flanagan%2C+Brendan%22">Flanagan, Brendan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ogata%2C+Hiroaki%22">Ogata, Hiroaki</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Research+%26+Practice+in+Technology+Enhanced+Learning%22">Research & Practice in Technology Enhanced Learning</searchLink>. 8/3/2021, Vol. 16 Issue 1, p1-18. 18p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Interactive+learning%22">Interactive learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Classroom+environment%22">Classroom environment</searchLink><br />*<searchLink fieldCode="DE" term="%22Reading%22">Reading</searchLink><br /><searchLink fieldCode="DE" term="%22Record+stores%22">Record stores</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+communities%22">Virtual communities</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates learner's reading behaviors in a critical reading task in humanities course using learning analytics techniques. A Critical Analysis of Literature and Cinema course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading activities were migrated to online mode by using BookRoll, a learning analytics enhanced eBook platform. Students (n=22 out of the 50 registered) accessed Hayavadana, an Indian play uploaded on BookRoll, and attempted to identify performative elements and cultural references in the text and highlight them. In this study, we analyze learner's reading logs gathered in the learning record store linked to BookRoll during that activity. We extend our previous work where we identify four online reading profiles: effortful, strategic, wanderers, and check-out, based on learner's clickstream interactions and time spent with the content. We validate the profiles with qualitative interview data collected from the learners and illustrate the quantified learning behaviors of each of those profiles based on an engagement metric. Our work aims to initiate further discussion related to the application of learning analytics in humanities courses both to probe into the learning behaviors of the students and thereby enhance the experiences with the use of interactive learning environments and data-driven services. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Research & Practice in Technology Enhanced Learning is the property of Asia-Pacific Society for Computers in Education (APSCE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=151719985
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s41039-021-00164-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Subjects:
      – SubjectFull: Interactive learning
        Type: general
      – SubjectFull: Electronic books
        Type: general
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Classroom environment
        Type: general
      – SubjectFull: Reading
        Type: general
      – SubjectFull: Record stores
        Type: general
      – SubjectFull: Virtual communities
        Type: general
    Titles:
      – TitleFull: Learning analytics of humanities course: reader profiles in critical reading activity.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Majumdar, Rwitajit
      – PersonEntity:
          Name:
            NameFull: Bakilapadavu, Geetha
      – PersonEntity:
          Name:
            NameFull: Majumder, Reek
      – PersonEntity:
          Name:
            NameFull: Chen, Mei-Rong Alice
      – PersonEntity:
          Name:
            NameFull: Flanagan, Brendan
      – PersonEntity:
          Name:
            NameFull: Ogata, Hiroaki
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 08
              Text: 8/3/2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 17932068
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Research & Practice in Technology Enhanced Learning
              Type: main
ResultId 1